La inteligencia artificial en Salud Pública: oportunidades, retos éticos y perspectivas futuras: e202503017

Sergio Castaño Castaño

Authors

Sergio Castaño Castaño Departamento de Psicología; Universidad de Oviedo. Oviedo. España. / Instituto de Investigación Sanitaria del Principado de Asturias (ISPA). Oviedo. España. https://orcid.org/0000-0003-4571-769X

Keywords:

Inteligencia Artificial, Salud Pública, ética en IA, vigilancia epidemiológica, modelos predictivos, privacidad de datos, transparencia algorítmica, desigualdades en salud, capacitación profesional, innovación tecnológica

Abstract

Artificial Intelligence (AI) is transforming Public Health by providing innovative tools to address complex global challenges. Its ability to analyze large volumes of data in real time enhances epidemiological surveillance, optimizes healthcare resource management, and personalizes preventive interventions. These applications have proven valuable in situations such as pandemics, where AI algorithms have contributed to outbreak prediction, efficient resource allocation, and the design of targeted strategies.

However, the adoption of AI also raises significant ethical and regulatory challenges. Issues such as data privacy, algorithmic transparency, and biases in models highlight the need for robust regulatory frameworks to ensure its ethical and equitable use. Furthermore, the lack of training among Public Health professionals and the digital literacy of communities limit the potential impact of these technologies.

This article examines the practical applications, ethical challenges, and strategies needed for the responsible adoption of AI in Public Health. It emphasizes the importance of training, interdisciplinary collaboration, and continuous research to ensure that AI becomes a transformative tool contributing to global well-being. If implemented ethically and sustainably, AI can play a crucial role in promoting equity and quality in Public Health systems.

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